A molecular classification of papillary renal cell carcinoma
Source: NCBI BioProject (ID PRJNA92221)
Source: NCBI BioProject (ID PRJNA92221)
0 0
Project name: Homo sapiens
Description: BACKGROUND: Despite the moderate incidence of papillary renal cell carcinoma(PRCC), there is a disproportionately limited understanding of its underlying geneticprograms. There is no effective therapy for metastatic PRCC, and patients are oftenexcluded from kidney cancer trials. A morphological classification of PRCC into Type 1 and Type 2 tumors has been recently proposed, but its biological relevance remains uncertain.PATIENTS AND METHODS. We studied the gene expression profiles of 34 cases ofPRCC using Affymetrix HGU133 Plus 2.0 arrays (54,675 probe sets) using bothunsupervised and supervised analysis. Comparative genomic microarray analysis(CGMA) was used to infer cytogenetic aberrations, and pathways were ranked with a curated database. Expression of selected genes was validated by immunohistochemistry in 34 samples, with 15 independent tumors.RESULTS. We identified 2 highly distinct molecular PRCC subclasses with morphologic correlation. The first class, with excellent survival, corresponded to 3 histological subtypes: Type 1, low-grade Type 2 and mixed Type 1/low-grade Type 2 tumors. The second class, with poor survival, corresponded to high-grade Type 2 tumors(n=11). Dysregulation of G1/S and G2/M checkpoint genes were found in Class 1 andClass 2 tumors respectively, alongside characteristic chromosomal aberrations. Weidentified a 7-transcript predictor that classified samples on cross-validation with 97% accuracy. Immunohistochemistry confirmed high expression of cytokeratin 7 in Class 1 tumors, and of topoisomerase IIα in Class 2 tumors.CONCLUSIONS. We report 2 molecular subclasses of PRCC, which are biologicallyand clinically distinct, which may be readily distinguished in a clinical setting.Keywords: survival, prognostic classification, disease state analysisOverall design: 34 individual samples analyzed, no technical replicates.
Data type: Transcriptome or Gene expression
Sample scope: Multiisolate
Relevance: Medical
Organization: Cancer Genetics, Van Andel Research Institute
Literatures
- PMID: 15994935
Release date: 2005-07-01
Last updated: 2005-06-04